Top Remote Jobs in New Zealand

Create high-quality training content for Google Cloud on a freelance basis, focusing on various areas like DevOps, ML, and Data Engineering.

As a Customer Success Manager, you'll manage relationships in the APAC region, ensure customer adoption and retention, and drive growth through collaboration and data-driven insights.

Lead and manage the APAC Customer Success team, ensuring customer satisfaction, retention, and expansion through relationship building and strategic management.

The Territory Manager will drive growth in the Beef market, executing sales strategies, building customer relationships, and addressing industry challenges while ensuring customer satisfaction.

As an Intermediate Site Reliability Engineer at GitLab, you will manage and automate infrastructure for production systems, respond to incidents, and collaborate with teams to enhance incident management.

Develop and improve tools for GitLab's knowledge management, collaborate with teams, and ensure code quality through best practices. Participate in feature iterations and user interface implementations.

As a Senior Software Engineer, you will develop scalable software solutions, mentor engineers, and enhance engineering practices, collaborating with cross-functional teams.

The Technical Support Engineer will troubleshoot and resolve issues for global enterprise customers, working closely with internal teams and ensuring customer satisfaction.

Translate patent documents related to Biology, Chemistry, Pharmacy, IT, and Mechanics from English to Japanese, ensuring clarity for the target audience.

The Customer Success Engineer ensures client satisfaction by managing technical implementations, onboarding, and growth, particularly in the Financial Services sector.

Responsible for managing and closing software license opportunities, identifying high-value prospects, and achieving sales quotas by effectively using a consultative sales approach.

As a Data Analyst, you will develop, test, and deploy reports, query large datasets, and analyze data to provide insights to the business.